Enterprises suffer from large numbers of duplicate models within their CAD and PLM systems. With multiple teams working on projects, company mergers and implementation of new technologies, systems can become overburdened with multiple files of the same parts. Studies show that the average engineer spends 12 hours each week searching for models, and even more time redesigning existing models.

With Physna, engineers and product designers can quickly find the models they need for their projects.

  • Our powerful geometric search engine shows all duplicate models in a database, including components contained in assemblies, alternative components, and alternative uses of those components.
  • Find models with virtually any known information, including shape, function, estimated measurement(s), classification, material, and cost.
  • Physna’s AI learns from your models and makes it even easier to find models and their relationships over time.

Duplicate models in engineering systems can cause procurement to vastly overpay for parts. With parts labeled differently and used in various assemblies, supply chain professionals may order the same parts from different suppliers and in small quantities. On average, companies estimate 40% waste in the supply chain process with duplicate items and higher pricing.

Using Physna, procurement professionals can easily determine the best supplier for each part, see differences between model options, and make quick decisions for better pricing and quality.

  • Physna’s powerful geometric search engine shows all duplicate models in a database, including duplicate and similar models, as well as parts-within-parts, components and alternative parts.
  • No knowledge of CAD or PLM is needed to use Physna. Our technology makes it easy to see the differences between models, and even provides smart predications around cost, materials, machinability and suppliers.
  • Physna can integrate with other software including enterprise ERP, SCM, PLM and PDM systems.

Imagine if software could help you to make production decisions on everything from the ideal equipment and materials to the best suppliers for each part. Physna learns from your 3D models, making faster, more accurate predictions based on fewer models than any other technology in the market. Our proprietary technology captures more data than ever before possible, enabling intelligent production predictions including cost, materials, machinability and suppliers.

  • Physna’s AI learns from the data of your existing models, and becomes smarter as you use the software. You can even customize predictions by creating simple text comments (called “Smart Tags” in Physna) to models. Your search results become more customized and accurate over time.
  • See the details and specifications of models including cost estimates, classification, performance predictions, suggested manufacturers, and much more.
  • Empower your procurement and manufacturing teams with the information to quickly determine the best way to manufacture or source a product.

With enterprise warehouses often containing millions of items, parts can get misplaced or categorized incorrectly. Shipments sometimes arrive without clear labeling or identical parts often have multiple part numbers, leading to inaccurate part information and high levels of inventory waste. It’s far too common for a part to be on the floor that no one can identify or use. Improperly managed inventory leads to financial loss.

With Physna, you can leverage model data to accurately determine the classification, alternative part numbers used, and the exact purpose and function of a part.

  • Identify a part based on its shape by quickly finding matching and similar parts, even a part within an assembly, alternatives to that part, and alternative uses for that part.
  • Need to search without a 3D model or a part number? Search with broad descriptions or by feature measurements, such as an estimated hole diameter.
  • See models in 3D without access to CAD, along with details of the models and specifications including materials, cost information, classification, machinability and suppliers.

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